Machine learning to investigate superficial white matter integrity in early multiple sclerosis

2021 ◽  
Author(s):  
Korhan Buyukturkoglu ◽  
Christopher Vergara ◽  
Valentina Fuentealba ◽  
Ceren Tozlu ◽  
Jacob B. Dahan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Multiple Sclerosis ◽  
White Matter ◽  
White Matter Integrity

scholarly journals Brief Computer-Based Information Processing Measures are Linked to White Matter Integrity in Pediatric-Onset Multiple Sclerosis

2018 ◽  
Vol 29 (1) ◽  
pp. 140-150 ◽  
Author(s):  
Elizabeth Bartlett ◽  
Michael Shaw ◽  
Colleen Schwarz ◽  
Charles Feinberg ◽  
Christine DeLorenzo ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
White Matter ◽  
White Matter Integrity ◽  
Computer Based ◽  
Pediatric Onset

Altered basal ganglia functional connectivity in multiple sclerosis patients with fatigue

2014 ◽  
Vol 21 (7) ◽  
pp. 925-934 ◽  
Author(s):  
C Finke ◽  
J Schlichting ◽  
S Papazoglou ◽  
M Scheel ◽  
A Freing ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Basal Ganglia ◽  
Functional Connectivity ◽  
Grey Matter ◽  
Matter Density ◽  
White Matter Integrity ◽  
Healthy Controls ◽  
Grey Matter Density ◽  
Fatigue Severity

Background: Fatigue is one of the most frequent and disabling symptoms in multiple sclerosis, but its pathophysiological mechanisms are poorly understood. It is in particular unclear whether and how fatigue relates to structural and functional brain changes. Objective: We aimed to analyse the association of fatigue severity with basal ganglia functional connectivity, basal ganglia volumes, white matter integrity and grey matter density. Methods: In 44 patients with relapsing–remitting multiple sclerosis and 20 age- and gender-matched healthy controls, resting-state fMRI, diffusion tensor imaging and voxel-based morphometry was performed. Results: In comparison with healthy controls, patients showed alteration of grey matter density, white matter integrity, basal ganglia volumes and basal ganglia functional connectivity. No association of fatigue severity with grey matter density, white matter integrity and basal ganglia volumes was observed within patients. In contrast, fatigue severity was negatively correlated with functional connectivity of basal ganglia nuclei with medial prefrontal cortex, precuneus and posterior cingulate cortex in patients. Furthermore, fatigue severity was positively correlated with functional connectivity between caudate nucleus and motor cortex. Conclusion: Fatigue is associated with distinct alterations of basal ganglia functional connectivity independent of overall disability. The pattern of connectivity changes suggests that disruption of motor and non-motor basal ganglia functions, including motivation and reward processing, contributes to fatigue pathophysiology in multiple sclerosis.

scholarly journals A pilot study of the impact of an exercise intervention on brain structure, cognition, and psychosocial symptoms in individuals with relapsing-remitting multiple sclerosis

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Chantel D. Mayo ◽  
Laureen Harrison ◽  
Kristen Attwell-Pope ◽  
Lynneth Stuart-Hill ◽  
Jodie R. Gawryluk
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Pilot Study ◽  
Brain Structure ◽  
Exercise Intervention ◽  
White Matter Integrity ◽  
Post Intervention ◽  
Relapsing Remitting ◽  
The Impact ◽  
The Brain

Abstract Background Despite pharmacological treatment, many individuals with multiple sclerosis (MS) continue to experience symptoms and medication side effects. Exercise holds promise for MS, but changes in brain structure following exercise have not been thoroughly investigated, and important cognitive and psychosocial variables are rarely primary outcomes. The aim of this pilot study was to investigate whether a 12-week exercise intervention would improve white matter integrity in the brain, or cognition, symptoms of fatigue, and depressed mood for individuals with relapsing-remitting MS (RRMS). Method Thirteen participants completed 12 weeks of speeded walking. Baseline and post-intervention testing included 3T diffusion tensor imaging (DTI) to assess white matter and neuropsychological testing to assess cognition, fatigue, and mood. Image pre-processing and analyses were performed in functional magnetic resonance imaging of the Brain Software Library. Results Post-intervention, there were no significant changes in white matter compared to baseline. Post-intervention, individuals with RRMS performed significantly better on the Symbol Digit Modalities Test (SDMT), reported fewer perceived memory problems, and endorsed less fatigue. Performance was not significantly different on Trails or Digit Span, and there were no significant changes in reports of mood. Conclusion Although 12 weeks of speeded walking did not improve white matter integrity, exercise may hold promise for managing some symptoms of RRMS in the context of this study population.

scholarly journals Widespread Disruptions of White Matter in Familial Multiple Sclerosis: DTI and NODDI Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Zeinab Gharaylou ◽  
Mohammad Ali Sahraian ◽  
Mahmoudreza Hadjighassem ◽  
Mohsen Kohanpour ◽  
Rozita Doosti ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Diffusion Tensor ◽  
Quantitative Mri ◽  
Interactive Effects ◽  
White Matter Integrity ◽  
Control Group ◽  
Sporadic Group ◽  
Diffusion Parameters ◽  
Patient Groups

Diffusion tensor imaging (DTI) is a noninvasive, quantitative MRI technique that measures white matter (WM) integrity. Many brain dimensions are heritable, including white matter integrity measured with DTI. Family studies are valuable to provide insights into the interactive effects of non-environmental factors on multiple sclerosis (MS). To examine the contribution of familial factors to the diffusion signals across WM microstructure, we performed DTI and calculated neurite orientation dispersion plus density imaging (NODDI) diffusion parameters in two patient groups comprising familial and sporadic forms of multiple sclerosis and their unaffected relatives. We divided 111 subjects (49 men and 62 women: age range 19–60) into three groups conforming to their MS history. The familial MS group included 30 participants (patients; n = 16, healthy relatives; n = 14). The sporadic group included 41 participants (patients; n = 10, healthy relatives; n = 31). Forty age-matched subjects with no history of MS in their families were defined as the control group. To study white matter integrity, two methods were employed: one for calculating the mean of DTI, FA, and MD parameters on 18 tracts using Tracts Constrained by Underlying Anatomy (TRACULA) and the other for whole brain voxel-based analysis using tract-based spatial statistics (TBSS) on NDI and ODI parameters derived from NODDI and DTI parameters. Voxel-based analysis showed considerable changes in FA, MD, NDI, and ODI in the familial group when compared with the control group, reflecting widespread impairment of white matter in this group. The analysis of 18 tracts with TRACULA revealed increased MD and FA reduction in more tracts (left and right ILF, UNC, and SLFT, forceps major and minor) in familial MS patients vs. the control group. There were no significant differences between the patient groups. We found no consequential changes in healthy relatives of both patient groups in voxel-based and tract analyses. Considering the multifactorial etiology of MS, familial studies are of great importance to clarify the effects of certain predisposing factors on demyelinating brain pathology.

White matter integrity and math performance in pediatric multiple sclerosis

Neuroreport ◽  
2011 ◽  
Vol 22 (18) ◽  
pp. 1005-1009 ◽  
Author(s):  
Christine Till ◽  
Angela Deotto ◽  
Vicentiu Tipu ◽  
John G. Sled ◽  
Allison Bethune ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Math Performance ◽  
White Matter Integrity ◽  
Pediatric Multiple Sclerosis

scholarly journals Erratum

2016 ◽  
Vol 22 (12) ◽  
pp. NP12-NP12
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Functional Connectivity ◽  
White Matter Integrity ◽  
Relapsing Remitting ◽  
John Radcliffe Hospital ◽  
Remitting Multiple Sclerosis ◽  
University Of Rome ◽  
Relapsing Remitting Multiple Sclerosis

Sbardella E, Tona F, Petsas N, et al. Functional connectivity changes and their relationship with clinical disability and white matter integrity in patients with relapsing–remitting multiple sclerosis. Multiple Sclerosis Journal 2015; 21(13): 1681–1692. DOI: 10.1177/1352458514568826 The above article that appeared in the November 2015 issue of Multiple Sclerosis Journal contained incorrect affiliations for two of the authors. The correct affiliation for Patrizia Pantano is Department of Neurology and Psychiatry, University of Rome, Italy / IRCSS Neuromed, Italy. The correct affiliation for Nicola Filippini is FMRIB Centre, John Radcliffe Hospital, UK.

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